
We are an innovative, Vancouver-based startup at the forefront of robotics, AI, and machine vision technologies. Backed by VC funding and we’ve been recognized with the 2025 Frost & Sullivan Technology Innovation Leadership Award, the AAM Supplier Excellence Innovation Award, and the 2024 BC Tech “Company of the Year – Growth”, we are on a mission to redefine the future of AI-driven robotic vision systems. Apera AI helps manufacturers make their factories more flexible and productive. Robots enhanced with Apera’s software have 4D Vision – the ability to see and handle objects with human-like capability. Challenging applications such as bin picking, sorting, packaging, and assembly are now open to fast, precise, and reliable automation. Apera is led by an experienced team from high-growth companies focused on robotics, artificial intelligence, and advanced manufacturing.
Job Description:
Robots can do amazing things - if they can see. That’s where you come in. We’re Apera AI. Our breakthrough 4D Vision™ systems turn blind robots into intelligent, adaptable workers. But that transformation doesn’t happen without great teams.
We are looking for a Senior Machine Learning and Computer Vision Applied Scientist with outstanding problem-solving skills to join our AI team. This is an in-person role based in our Vancouver office, where you will collaborate closely with a small group of ambitious engineers and applied scientists delivering the future of robotic perception. Your work will be both grounded in state-of-the-art research and applied to guiding industrial robots on factory floors around the world.
You will own projects end-to-end from literature review through prototyping, benchmarking, and scaling. This includes:
About you:
You are motivated, talented, hardworking and have an entrepreneurial spirit. You enjoy making large impact at your company. You enjoy solving challenging problems rooted in real-world physics using science, imagination, creativity, and persistence.
What We’re Looking For:
Why Apera?
Join us to make robotics more accessible, predictable, and powerful.
Vancouver, British Columbia